R is a programming language and statistical software used for statistical analysis, data visualization and predictive modelling. R has over 8000 packages in R libraries for different types of statistical analysis. In thi…

The major objective of this study is to know more about the use of machine learning and statistical learning, its advantages and disadvantages, and its application in today’s world. This article contains two examples of …

Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1211 software packages, and an active user community. Bioconductor is also available as an…

This is the use of parallel processing for running advanced application programs in an efficient, reliable and in a quick manner. Jobs that would alternatively consume a lot of time to execute due to large data sets are …

This project explores the use of R packages in graphical presentation and visualization of data. The R packages applied include Lattice, Iplots, Ggplot2 and Base graphics. The different packages can be manipulated to pro…

The gRbase package is intended to set the framework for computer packages for data analysis using graphical models. The gRbase package is developed for the open source language, R, and is available for several platforms.…

Genetics is the study of genes, genetic variation, heredity and the variation of inherited characteristics in living organisms. It has proved to be a powerful approach to understanding biological systems. Because genes a…

Inference is the process of updating probabilities of outcomes based upon the relationship in the model and the evidence known about that situation at hand. Bayesian inference is a method of statistical inference which u…